Feto/Neonatal Imaging
Project Content
Imaging the fetal head to improve long term neurological development. The basis for life-long neuro-cognitive competency is laid during the feto/neonatal period of development. Various factors have an impact on the growing brain and subsequently determine long term development. Diseases originating in this critical period are associated with severe burden to the individual but also to the society, and represent an unmet medical need. Currently, there is a lack in advanced analytical tools for detailed health status assessment in that vulnerable population that would allow personalized medicine to prevent long-term burden. By focusing on the feto/neonatal period of development, it is the objective of our research (i) to improve traditional health assessment tools through artificial intelligent (AI) systems to continuously and accurately monitor neurodevelopment, (ii) to develop advanced analytical tools to monitor clinical factors impacting neurodevelopment and head growth, (iii) to develop personalized strategies for preventing impaired head growth in the feto/neonatal period, and finally (iv) develop personalized and smart therapeutic strategies for treating common head pathologies, namely cranial deformities. Therefore, the my-nEUro-growth initiative was established.
Workshop Schädeldeformitäten
Collaborations:
Helena Torres; Institutio Politecnico do Cavado e do Ave (IPCA), Portugal; (my-nEuro-growth)
Marijn Vermeulen; Erasmus University Rotterdam, Sophias Childrens Hospital (ERASMUS MC), Netherlands
Fundacion BMaterials (BCM), Spain;
Warzawski Uniwersitytet Medyzny (WUM), Poland;
Khaled Ismail: Department of Gynecology and Obstetrics; Faculty of Medicine in Pilsen
Charles University; Biomedical Center; Faculty of Medicine in Pilsen;
Hans-Gerd Maas; TU Dresden, Institute for Photogrammetry (TUD-IP);
Sandra Hunger; Werkzeugmaschinen und Umformtechnik IWU, Abteilung Medizintechnik, Fraunhofer Institut (FHI)
Group Leader
Dr. Anne Fritze
Publications
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities.
J Biomed Inform. 2022 Jun 21:104121. doi: 10.1016/j.jbi.2022.104121. Online ahead of print.PMID: 35750261
Ann Biomed Eng. 2022 May 27. doi: 10.1007/s10439-022-02981-6. Online ahead of print.
HR Torres, B Oliveira, PR Morais, A Fritze, C Birdir, M Rüdiger, Jaime C Fonseca, João L Vilaça. Medical Imaging:Image Processing 2022:12032, 927-933, https://doi.org/10.1117/12.2611150
A review of image processing methods for fetal head and brain analysis in ultrasound images.
Comput Methods Programs Biomed. 2022 Mar;215:106629. doi: 10.1016/j.cmpb.2022.106629. Epub 2022 Jan 13.
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach.
Torres HR; Morais P; Fritze A; Oliveira B; Veloso F; Rüdiger M; Fonseca JC; Vilaca JL; IEEE J Biomed Health Inform. 2021 July, 25:7; doi: 10.1109/JBHI.2020.3035888
Reference Charts for Neonatal Cranial Volume Based on 3D Laser Scanning to Monitor Head Growth.
Front Pediatr. 2021 May 28;9:654112. doi: 10.3389/fped.2021.654112. eCollection 2021
Obstetric forceps dimensions and the newborn head biometry: Time for an update.
Eur J Obstet Gynecol Reprod Biol. 2020 Nov 26;256:270-273. doi: 10.1016/j.ejogrb.2020.11.046. Online ahead of print.
Anthropometric Landmark Detection in 3D Head Surfaces using a Deep Learning Approach.
Torres HR; Morais P; Fritze A; Oliveira B; Veloso F; Rüdiger M; Fonseca JC; Vilaca JL; IEEE J Biomed Health Inform. 2020 Nov 4;PP. doi: 10.1109/JBHI.2020.3035888. Online ahead of print.PMID: 33147152
Non-invasive estimation of brain-volume in infants.
Burkhardt W, Schneider D, Hahn G, Konstantelos D, Maas HG, Rüdiger M. Early Hum Dev. 2019 May;132:52-57. doi: 10.1016/j.earlhumdev.2019.03.020. Epub 2019 Apr 12
Three-dimensional digital imaging to assess newborn biparietal diameter at term.
Ismail AT, Rüdiger M, Ismail KMK, Burkhardt W. Eur J Obstet Gynecol Reprod Biol. 2018 Apr;223:143-144. doi: 10.1016/j.ejogrb.2018.02.009
Prevalence of head deformities in preterm infants at term equivalent age.
Ifflaender S, Rüdiger M, Konstantelos D, Wahls K, Burkhardt W. Early Hum Dev. 2013 Dec;89(12):1041-7. doi: 10.1016/j.earlhumdev.2013.08.011
Three-dimensional digital capture of head size in neonates - a method evaluation.
Ifflaender S, Rüdiger M, Koch A, Burkhardt W. PLoS One. 2013 Apr 8;8(4):e61274. doi: 10.1371/journal.pone.0061274. Print 2013